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UNIVERSITY OF MUMBAI

Bachelor of Engineering

Automobile Engineering

Final Year (Sem. VIII)

Revised Syllabus (REV- 2012)

w.e.f. Academic Year 2015-2016

Under

FACULTY OF TECHNOLOGY

(As per Semester Based Credit and Grading System)

University of Mumbai, Automobile Engineering (Final Year) Revised Course (Rev-2012) 1

B. E. Automobile-(Semester VIII)

Course

Code Course Name

Teaching Scheme

(Contact Hours) Credits Assigned

Theory Pract. Theory Pract. Total

AEC801 Autotronics 4 2 4 1 5

AEC802 Vehicle Dynamics 4 2 4 1 5

AEC803 Vehicle Maintenance 4 2 4 1 5

AEE802X Elective II 3 2 3 1 4

AEP802 Project II -- 12# -- 6 6

Total 15 20 15 10 25

Course

Code Course Name

Examination Scheme

Theory

Term

Work

Pract./

oral Total

Internal Assessment End

Sem.

Exam.

Exam.

Duration

(in Hrs) Test1 Test 2 Avg.

AEC801 Autotronics 20 20 20 80 03 25 25 150

AEC802 Vehicle Dynamics 20 20 20 80 03 25 -- 125

AEC803 Vehicle Maintenance 20 20 20 80 03 25 25 150

AEE802X Elective II 20 20 20 80 03 25 -- 125

AEP802 Project II -- -- -- -- -- 50 100 150

Total -- -- 80 320 -- 150 150 700 * Only ORAL examination based on term work and syllabus

# indicates work load of Learner (Not faculty) in VII and VIII semester for Project

Project –I and II: Students groups and load of faculty per week

Project Groups : Students can form groups with minimum 2 (Two) and not more than 4 (Four)

Faculty Load: In semester VII – ½ an hour per week per project group

In semester VIII - 1 hour per week per project group

Each faculty is permitted to take (guide) maximum 4 (Four) project groups.

Course

Code

Elective II

AEE8021 Noise Vibrations & Harshness

AEE8022 Vehicle Safety

AEE8023 World Class Manufacturing &

AEE8024 Knowledge Management

AEE8025 Project Management &

AEE8026 Artificial Intelligence

AEE8027 Virtual Reality

& Common with Mechanical Engineering


Objectives

1. To study basic and advance Automotive Electronics systems.

2. To study working of different Automotive Electronics systems and subsystems.

3. To study basic and advance electronics technologies like Battery, Fuel Cell, ECM etc.

4. To have basic idea about how automotive electrical systems are developed.

Course Outcomes: Learner will be able to……

1. Practically identify different automotive Electronics systems and subsystems.

2. Practically identify and demonstrate Systems like Battery, Alternator, Dynamo,

Starter Motors, and Sensors etc.

Module Detailed Contents Hrs.

01

1. Battery

1.1 Requirement,

1.2 Construction,

1.3 Principle of operation,

1.4 Working of Lead acid, alkaline, Zebra, Sodium Sulphur, Swing,

batteries,

1.5 Ratings,

1.6 Charging.

1.7 Maintenance & testing of Lead acid battery. 2. Fuel Cells

2.1 Introduction of Fuel Cells & fuel used

2.2 Constructions and Operation of proton Exchange membrane

2.3 Alkaline Fuel Cell.

2.4 Medium & high temperature fuel cells,

2.5 Reformers.

3. 42-volt technology

3.1 Introduction,

3.2 Transition from 12V to 42V electrical system,

3.3 Need of 42V automotive electrical system.

3.4 42V automotive power system,

3.5 Method of controlling 12V system in 42V architecture,

3.6 Present developments in 42 volt technology.

08

02

1. Charging System

1.1 Requirements of charging system

1.2 Dynamo

1.2.1 Principle of operation

1.2.2 Construction

1.2.3 Working

1.2.4 Regulators, Combined current & voltage regulator etc.

1.3 Alternator

1.3.1 Principle of operation

1.3.2 Construction

1.3.3 Working

1.3.4 Rectification from AC to DC

2. Starting system

2.1 Requirements of starting system

08

Course Code Course/Subject Name Credits

AEC 801 Autotronics 4+1


2.2 Various torque terms used

2.3 Starter motors drives

2.3.1 Bendix

2.3.2 Folo through Barrel

2.3.3 Rubber compression

2.3.4 Compression spring

2.3.5 Friction clutch

2.3.6 Overrunning clutch

2.3.7 Dyer

2.4 Starter motor solenoids & switches

2.5 Glow plugs

3. Integrated Starter and Alternator

03

1. Electronic Ignition System

1.1 Capacitor Discharge Ignition system

1.2 Distributer less Ignition System

1.3 Direct Ignition System,

1.4 Hall Effect pulse generator

1.5 Inductive pulse generator

1.6 Constant dwell system

1.7 Constant energy system

2. Electronic Engine controls

2.1 Electronic control module (ECM)

2.2 Operating modes of ECM (closed loop & open loop)

2.3 Inputs required & output signals from ECM

2.4 Electronic spark timing

2.5 Electronic spark control

2.6 Air management system

2.7 idle speed control

08

04

1. Sensors & Actuators

1.1 Automotive Sensors,

1.1.1 Thermisters,

1.1.2 Inductive Sensors,

1.1.3 Position Sensors (Rotary, Linear)

1.1.4 Pressure Sensors,

1.1.5 Knock Sensor,

1.1.6 Optical Sensor

1.1.7 Hot wire & thin film air flow sensor,

1.1.8 Turbine fluid flow sensors

1.1.9 Light sensor,

1.1.10 Methanol sensor

1.1.11 Rain sensor operating principles

1.1.12 Oxygen sensor

1.1.13 Application & new developments in sensor technology

1.2 Automotive Actuators

1.2.1 Introduction,

1.2.2 Function & operating principle

1.2.3 Construction & working of solenoid actuators,

1.2.4 Relays

1.2.5 Motorized actuators,

1.2.6 Thermal Actuators

1.2.7 Electro hydraulic & Electrochemical Valve actuators,

1.2.8 Application & new developments in the actuators technology.

1.2.9 Stepper motors.

08


05

1. Automotive Lighting and wiring harness systems.

1.1 Lighting

1.1.1 Energy demand of lighting system

1.1.2 Types of Lamps

i. Head lamp: Construction & types. Setting & control

ii. Fog Lamp

iii. Side Lamp

iv. Tail lamp

v. Parking lamp

vi. Brake warning light

vii. Trafficators

viii. Blinkers

ix. Flashers

x. Electronic flasher circuit

xi. Instrument panel lights

xii. Body interior illumination

xiii. Adaptive lighting system.

1.1.3 Reflectors: Parabolic, Bifocal, Homifocal, poly-ellipsoidal

1.1.4 Gauges: Fuel, Temperature, Oil pressure etc.

1.1.5 Accessories: Electric horn, wipers, Fuel pump, Power operated

windows.

1.2 Wiring

1.2.1 Cables

1.2.2 Sizes

1.2.3 Colors & color codes

1.2.4 Connectors

1.2.3 Multiplex wiring system

08

06 Introduction to Automotive embedded system and Intelligent vehicle

system. Telematics, X by wire, GPS etc. 08

List of Experiments

1. Study of Lead Acid Battery.

2. Study of Fuel Cells.

3. Dismantling, Inspection & assembly of A. C. Generator/Dynamo.

4. Dismantling, Inspection & assembly of Starter motor.

5. Measurement of Temperature using sensor.

6. Measurement of Pressure using sensor.

7. Measurement of Position using sensor.

8. Measurement of Oxygen using sensor.

9. Study of Air Management System under different operating conditions.

10. Study of effect of operating variables on injector’s activating Pulses.

11. Study of functioning/working of Idle speed control system.

12. Study of effect of spark advances on the Engine Emissions.

13. Study of Idle Speed Control.

14. Study of Electro-magnetic fuel Injector.


Term Work Term work shall consist of minimum 8 experiments from the list, 6 assignments covering

maximum portion of the syllabus (one on each module).

The distribution of marks for term work shall be as follows:

Laboratory work (Experiments) : 10 marks

Assignments : 10 marks

Attendance (Theory and Practical) : 05 marks

The final certification and acceptance of term work ensures the satisfactory performance of

laboratory work and minimum passing in the term work.

Practical/Oral examination

1. Practical examination is based on list of experiments proposed.

2. Demonstration of automobile electronic systems like Battery, Alternator, Dynamo,

Starter Motors, Sensors etc3. Distribution of marks for practical/oral examination shall be as follows:

i. Practical performance: 15 marks

ii. Oral: 10 marks

4. Evaluation of practical examination to be done based on the experiment performed

5. Students work along with evaluation report to be preserved till the next examination

Internal Assessment Assessment consists of two tests out of which; one should be compulsory class test (on

minimum 40% of curriculum) and the other is either a class test (on minimum 70% of

curriculum) or assignment on live problems or course project.

Theory Examination

In question paper weightage of each module will be proportional to number of

respective lecture hours as mention in the syllabus.

1. Question paper will comprise of 6 questions, each carrying 20 marks.

2. Question number 1 will be compulsory and based on maximum contents of the

syllabus

3. Remaining questions will be mixed in nature (for example, if Q.2 has part (a) from

module 3 then part (b) will be from other than module 3)

4. Total four questions need to be solved.

References 1. Understanding Automotive Electronics by William B. Ribbens

2. Automobile Electrical & Electronics by Tom Denton.

3. Intelligent Vehicle Technologies by Michel Parent

4. Light weight Electric/Hybrid vehicle design by John Fenton & Ron Hodkinson

5. Computerized engine control by Dick King

6. Automotive electrical equipments by P.L.Kohli

7. Automotive Mechanics by William Crouse and Anglin.

8. Automotive Electronic Hand book by Ronald K. Jurgen

9. Car electronics (Second edition) edited by Shuji Mizutani.


Course Code Course /Subject Name Credits

AEC802 Vehicle Dynamics 4+1

Objective

1. To provide students with the fundamental knowledge in the field of automotive

dynamics.

Outcome: Learner will be able to…..

1. Ability to design automotive component to meet desired needs.

2. Competence to apply the fundamental knowledge of Applied Mechanics, Strength of

Materials, Engineering Materials and Theory of Machine for actual design problems.

3. Develop analytical abilities to give solutions to automotive design problems.

Module Details Hrs

1 Fundamentals of vehicle dynamics

Road loads, Aerodynamics - Drag, side force, Lift force, Rolling

resistance, Total road loads, Ride, Vehicle response properties,

Perception of ride.

Tyres Tyre construction, Tractive properties, Cornering properties, Camber

thrust, Aligning moment, Combined braking and cornering, Conicity and

ply steer, Tire vibrations, Tyre properties affecting vehicle rollover

10

2 Suspension systems Fundamental approach to vehicle modeling, Single mass system with

two degree of freedom, Theory and problems of double Conjugate

points, Motion after the hump, Acceleration for stepped input, Solid

axles, Independent suspensions, Anti- Squat and anti- pitch suspension

geometry, Equalizing type of suspension, Active suspension, Semi

Active.

10

3 Roll Center of suspension linkages, Roll axes and roll angles, Non- Roll

layout, No Roll suspensions,

Vehicle Rollover

Characteristics of on road rollover, Rollover résistance, Anti rollover

Braking, Anti- roll bar and its effects

Equation of Motion

Euler’s equation of motion, Inertia tensor axes

08

4 Steering Systems Steering geometry, Front wheel geometry, Steering system forces and,

moments, Steering system effects, Influence of front wheel drive, Four

wheel steering, Steering oscillations, Shimmy & wheel wobble, Jack

Knifing of articulated vehicles

07

5 Handling characteristics Steady state cornering, Low speed turning, High speed cornering,

Stability derivatives ( Derivation and problems ), Suspension effect of

cornering, Steady state and Transient behavior

07

6 Recent trends in vehicle dynamics Stability Control systems, Introduction of vehicle sensors, Central tyre,

inflation systems, Influence of parameters at vehicle rollover, Vehicle

dynamics simulations

06


List of Experiments 1. Mathematical modeling of suspension system (Quarter suspension model and half

vehicle).

2. Live problem on suspension design of modern vehicle in passenger car segment,

heavy vehicle segment etc

Term Work Term work shall consist of experiments from the list, and minimum 6 assignments covering











Theory Examination





syllabus




References 1. Fundamentals of Vehicle Dynamics By Thomas. D. Gillespie.

2. Multibody Systems Approach to Vehicle Dynamics Mike Blundell and Damian

Harty.

3. Mechanics of Road vehicle By Steeds.

4. Mechanics of vehicles By J.J. Taborelc.

5. Automobile suspension and Handling By Colin Campell.

6. Car suspension By Bastow.


Course Code Course /Subject Name Credits

AEC803 Vehicle Maintenance 4+1

Objectives

1. To study basics of vehicle maintenance

2. To study maintenance of vehicle systems and subsystems

3. To study different automotive diagnostic tools

Outcomes: Learner will be able to……

1. Effectively use automotive diagnostic tools in industries.

2. Improve existing vehicle maintenance practices in industries.

Module Details Hrs.

1

Types of Maintenance

Automotive Engine Diagnosis: Lower End Theory and Service,

Upper End Theory and Service, Engine Lubrication Diagnosis and

Service, Cooling System Diagnosis

06

2

Electrical System Diagnostic and Service

Batteries: Theory Diagnosis, and Service

Starting System Diagnosis, and Service

Charging Systems

Basic Lighting System Diagnosis

10

3

Electrical Accessories

Windshield Wiper/Washer Systems , Horns/Clocks/Cigarette Lighter

Systems, Sound Systems , Power Lock Systems, Power Windows,

Power Seats, Power Mirror System, Rear-Window Defrosters an

Heated Mirror Systems, Other Electronic Equipment, Security and

Antitheft Devices

06

4

Restraint Systems: Theory, Diagnosis, and Service

Seat Belts , Seat Belt Service, Air Bags, Electrical System Components

Diagnosis, Servicing the Air Bag System, Other Protection Systems

06

5

Manual transmissions and transaxles

Clutch Problem Diagnosis and Service, Diagnosis of Drive Shaft and

U-Joint Problems, Transmission/Transaxle Problem Diagnosis and

Service, Servicing the Final Drive Assembly and Diagnosing

Differential Noises

08

6

Suspension And Steering Systems

Tire/Wheel Run out, Tire Replacement, Tire Repair, Installation of

Tire/ Wheel Assembly on the Vehicle, Basic Front-Suspension

Diagnosis and Service, Manual-Steering Systems and Power-Steering

System Diagnosis and service, Alignment Geometry Performing an

Alignment on Two wheel drive Four-Wheel-Drive Vehicle Alignment

Brakes

Drum Brake Inspection, Brake Shoes and Linings, Wheel Cylinder

Inspection and Servicing, Drum Parking Brakes.

Disc Brake Diagnosis and Service, General Caliper Inspection and

Servicing, Rear Disc Brake Calipers, Antilock Brake System

Diagnosis and Service

12


Engine Performance

OBD-II Self- Diagnostics, Basic Diagnosis of Electronic Engine

Control Systems

Using Scan Tool Data, Symptom-Based Diagnosis, Ignition System

Diagnosis and Service, Fuel Injection System Diagnosis and Service,

Emission Control Diagnosis and Service, EGR System Diagnosis and

Service , Catalytic Converter Diagnosis, Air System Diagnosis and

Service

List of Experiments

1. To perform engine analysis of petrol & diesel engines using a computerized engine

analyzer or Auto Master.

2. To perform wheel balancing on a computerized wheel balancer.

3. To find the steering geometry of a vehicle using a computerized wheel aligner

4. Removing and refitting of tyre using an automatic tyre changer.

5. Dismantling, inspection and repairing and assembly of engine components.

6. Experiment on calibration of the fuel injection pump.

7. Study of body repairing and reconditioning methods.

Term Work Term work shall consist of 7 experiments from the list, and minimum 6 assignments covering











Practical/Oral examination

1. Practical examination duration is 2 hours.

2. Examination is based on experiments performed during the semester

3. Distribution of marks for practical/oral examination shall be as follows:

i. Practical performance: 15 marks

ii. Oral: 10 marks

4. Evaluation of practical examination to be done based on the experiment performed

5. Students work along with evaluation report to be preserved till the next examination


Theory Examination





syllabus




References 1. Automotive Technology :A Systems Approach, 5e Jack Erjavec/Delmar Cengage

Learning

2. Automotive Mechanics, William Crouse and Donald Anglin /TATA Mc Graw-hill

3. Automotive Technology, Joseph Heitner

4. Automotive Electrical and Electronic Systems by John F. Kershaw, James D.

Halderman

5. Automotive Engines: Theory and Servicing by J.D.Halderman & Mitchell/Pearson

Education.



AEE 8021 Noise, Vibrations and Harshness 3+1

Objectives

1. To study basic concepts of noise, vibration and harshness and their effects

2. To study various methods of Vibration control

3. To study and analyze sounds and detection of noise from automobiles.

Outcomes: Learner will be able to…

1. Identify and analyze vibrations and noise coming out of automobiles

2. Investigate level of harm caused by noise and harshness and to provide measures to

control it.


01

1. Basics of Vibrations:

1.1 Basic Concepts

1.2 Mathematical Models

1.3 System characteristics and response

1.4 Single and Multi DOF systems

06

02

2. Vibration control:

2.1 Isolators

2.2 Tuned absorbers

2.3 Untuned viscous dampers

2.4 Applications: single cylinder engines, multi cylinder engine

2.5 Simple rubber engine mounts

2.6 Hydro elastic mounts

2.7 Semi active mounts and active mounts

2.8 Mass elastic models and measurements

2.9 Limits for passenger comforts

08

03

3. Sound & sound measurement:

3.1 Fundamentals of acoustics

3.1.1 General sound propagation

3.1.2 Plane wave propagation

3.1.3 Spherical wave propagation

3.2 Human response to sound – the audible range

3.3 Sound measurement

3.3.1 Instrumentation

3.3.2 Sound level meters

3.3.3 Frequency intensity analyzers

3.3.4 Real time measurements

08

04

4. Automotive noise:

4.1 Automotive noise criteria

4.1.1 Drive by noise test

4.1.2 Noise from stationary vehicles

4.1.3 Interior noise in vehicles

4.2 Automotive noise

4.2.1 Sources and control methods

i) Engine noise

ii) Transmission noise

iii) Intake and exhaust noise

iv) Aerodynamic noise

v) Tyre noise

vi) Brake noise

06


05

5. General noise control principles

5.1 Sound in enclosures

5.2 Sound energy absorption

5.3 Sound transmission through barriers

04

06

6. Harshness

6.1 Causes

6.2 Frequency limits

04

Term Work Term work shall consist of at the list 6 assignments (one on each module) covering maximum

portion of the syllabus.









Theory Examination





syllabus




References 1. Rao S S, "Mechanical Vibrations", Addison Wesley Longman, New Delhi, 1995.

2. Heinz Heisler, “Advanced Engine Technology”, SAE 1995.

3. “Automobiles and pollution” SAE Transaction, 1995.

4. Seto, “Mechanical Vibrations ", Schaum Outline Series, McGraw Hill Book

Company, New York, 1990.

5. Springer and Patterson, “Engine Emission”, Plenum Press 1990.

6. Thomson W T, "Theory of Vibration with Applications", CBS Publishers and

Distributors, New Delhi, 1990.

7. Ashok Kumar Mallik, “Principles of Vibration control”, Affiliated East-West Press

(P) Ltd., New Delhi, 1990.

8. Grover G K, "Mechanical Vibrations ", New Chand and Brothers, Roorkey, 1989.

9. Tse Morse and Hinkle, “Mechanical Vibration”, Prentice Hall of India Ltd., New

Delhi,1987.


Course Code Course/Subject

Name

Credits

AEE 8022 Vehicle Safety 3+1

S

Objectives

1. To study basic concepts of vehicle safety

2. To study accident reconstruction analysis methods

3. To study different issues in vehicle safety

Outcomes: Learner will be able to……

1. Understand vehicle design from safety point of view2. Apply the concepts of accident reconstruction analysis in real world


01

Introduction:

Introduction to vehicle safety, Basic concepts of vehicle safety, Risk

evaluation and communication, Human error control, Universal design The distracted driver, Special design problems (Design for children,

handicap, etc)

06

02

Safety Regulations and testing:

Vehicle Safety Regulations, Accident Data, Accident Avoidance,

Biomechanics and Occupant Simulation, Crash Testing, Vehicle Body

Testing, Dynamic Vehicle Simulation Tests, Occupant Protection

Pedestrian Protection, Compatibility, Interrelationship among Occupants,

Restraint Systems, and Vehicle in Accidents

08

03

Rear Crash Safety:

Head Restraint Position during Normal Driving, Study of procedure to

evaluate Occupant Interaction with seat in rear crashes, Role of seat in

Rear crash safety, Performance criteria for different seats, Ultra high

Retention seats, Human and dummy responses for Pendulum impacts to

the Back

Effectiveness of Self –Aligning Head Restraints in preventing whiplash,

Energy absorptions properties of Head Restraints, Introduction to RUPD

(Rear under rum protection device)

08

04

Accident Reconstruction Analysis:

Uncertainty in Measurement and cautions, Tire forces, Straight-line

Motion Critical speed from Tire Yaw marks, Reconstruction of

Vehicular Rollover Accidents, Analysis of Collisions , Impulse –

Momentum Theory, Reconstruction Applications , Impulse Momentum

Theory, Crush Energy

Frontal Vehicle –Pedestrian Collusion, Photogrammetry for accident

constructions

08

05 Working of different Automotive safety systems

Recent trends in Automotive safety systems 04

06 Key issues in vehicle safety in India and Abroad 02

List of Experiments: 1. Measurement of Windscreen wiping area for different vehicles.

2. Study of Crash test dummies.

3. Measurement of Eye lids, H Point and R Point.

4. Calibration study of Speedometer and Odometer.

5. Study of Tell Tale Symbols in Indian Cars

6. Industrial Visit


Term Work Term work shall consist of 5 experiments from the list, 6 assignments covering maximum

portion of the syllabus (One on each module).




Industrial visit report: 05 marks







Theory Examination





syllabus




References 1. Automotive vehicle safety by George Peters and Barbara Peters, CRC Press, 2002.

2. Understanding Automotive electronics by William Ribbens, Newnes, Sixth Edition,

2003.

3. Vehicle Accident Analysis and Reconstruction Methods by Raymond M. Brach and

R. Matthew Brach, SAE International, Second Edition, 2011.

4. Role of the seat in rear crash safety by David C. Viano, SAE International, 2002.

5. Automotive Safety Handbook by Ulrich W. Seiffert and Lothar Wech, SAE

International, 2007.



AEE 8023 World Class Manufacturing&

3+1 &

Common with Mechanical Engineering

Objectives 1. To familiarize the students with the concepts of Business excellence and

competitiveness.

2. To apprise the students with the need to meet the current and future business

challenges.

3. To prepare the students to understand the current global manufacturing scenario.

Outcomes: Learner will be able to..

1. Demonstrate the relevance and basics of World Class Manufacturing.

2. Identify the factors of competitiveness and performance measures based on which,

global manufacturing success is bench marked

3. Draw current Status of Indian Manufacturing scenario and design and develop a

roadmap to achieve world class manufacturing status.

Module Details Hrs.

01

Historical Perspective

World class organizations: Meaning of world class. Competitiveness

and Performance measures. Criteria for world class organizations in

Manufacturing. Competing in World markets. Review of frameworks in

World Class Manufacturing (WCM). Models for manufacturing

excellence: Schonberger, Halls, Gunn & Maskell models and Business

Excellence.

05

02

Benchmark, Bottlenecks and Best Practices

Concepts of benchmarking, Bottleneck & best practices. Best

performers, Gaining competitive edge through world class

manufacturing, Value added manufacturing, Value Stream mapping,

Eliminating different types of waste. Lean Thinking (Toyota Production

System), Six Sigma, Theory of Constraints.

07

03

System and Tools for World Class Manufacturing

Improving Product & Process Design: SQC, Statistical Process Control,

Quality Function Deployment (QFD), Seven Basic Quality Tools, FMS,

Poka Yoke, 5-S, Optimizing Procurement & stores practices, Total

Productive maintenance and Visual Control.

07

04

HR Dimensions in WCM – WCM Strategy Formulation

4.1 Adding value to the organization: Organizational learning,

techniques of removing Root cause of problems, People as problem

solvers, New organizational structures.

4.2 Associates: Facilitators, Teams man ship, Motivation and reward in

the age of continuous improvement.

05

05

Characteristics of WCM Companies

Performance indicators like POP, TOPP and AMBITE systems.

Other features of WCM : Supply Chain Management & key issues in

SCM, Agile Manufacturing, Green Manufacturing, Role of Information

system in WCM, Introduction to Knowledge management, Study of

various performance measures in world class organization.

06

06

Total Quality Management (TQM)

Definition, Understanding quality, Evolution of TQM, Framework for

TQM, Commitment and leadership, Customer satisfaction, Employee

involvement, Continuous process improvement, Supplier partnership,

Performance measures, Formulation and implementation of TQM: Case

Study.

06


Term Work Term work shall consist of at least six assignments on topics drawn from the syllabus [1

assignment per module] and at least 3 case studies and analysis based on the topics

mentioned above.

The distribution of marks for term work shall be as follows.

Assignments: 10 marks

Lab work (Case Studies: at least 3, with inferences): 10 marks

Attendance (Theory and Practical): 05 marks






Theory Examination In question paper weightage of each module will be proportional to number of




syllabus




References

1. World Class Manufacturing – Strategic Perspective, Sahay B.S., Saxena K B C and

Ashish Kumar, Mac Milan Publications, New Delhi.

2. World Class Manufacturing - The Lesson of Simplicity, Schonberger R. J, Free Press,

1986

3. Management strategy: achieving sustained competitive advantage, Marcus, A. A.,New

York: McGraw-Hill/Irwin, 2011.

4. Manufacturing Strategy: Process and Content, Voss C. A., Chapman & Hall, London,

1992.

5. Lean production simplified, Pascal. D., 2nd Edition, Productivity Press, 2007

6. Total Quality Management, Besterfield, D. H., Pearson Education, 1999.

7. Advanced Operations Management, Mohanty R. P., Deshmukh S. G., Pearson

Education,2003.

8. “Managing Technology and Innovation for Competitive Advantage”, Narayanan V.K,

Prentice Hall, 2000.

9. “Making Common Sense Common Practice – Models for manufacturing Excellence”,

Ron Moore, Butter worth Heinmann.

10. The Toyota Way – 14 Management Principles”, Jeffrey K.Liker, Mc-Graw Hill, 2003.

“Operations Management for Competitive Advantage”, Chase Richard B., Jacob

Robert., 11th Edition , McGraw Hill Publications, 2005.



AEE 8024 Knowledge Management 3+1

Objectives

1. To study basic concepts of knowledge management

2. To understand knowledge management tools and techniques

Outcomes: Learner will be able to…

1. Effectively implement knowledge management in organizations

2. Improve existing knowledge management practices in organizations


01

Introduction to Knowledge Management: What Is Knowledge

Management? Data ,information and knowledge, Types of knowledge,

Forces Driving Knowledge Management, Knowledge Management

Systems, Knowledge management systems and existing technology

02

02

Principles of Knowledge Management

2.1 Knowledge Management Foundations: Infrastructure,

Mechanisms, and Technologies: Knowledge Management Foundations,

Knowledge Management Infrastructure, Knowledge Management

Mechanisms, Knowledge Management Technologies, Management of

Knowledge Management Foundations

2.2 Knowledge Management Solutions: Processes and Systems:

Knowledge Management Processes, Knowledge Management Systems,

Managing Knowledge Management Solutions

2.3 Organizational Impacts of Knowledge Management:

Impact on People, Impact on Processes, Impact on Products, Impact on

Organizational Performance

06

03

Knowledge Management Technologies and systems

3.1Knowledge Application Systems: Systems that Utilize Knowledge:

Technologies for Applying Knowledge, Developing Knowledge

Application Systems, Types of Knowledge Application Systems,

Limitations of Knowledge Application Systems

3.2 Knowledge Capture Systems: Systems that Preserve and

Formalize

Knowledge: What Are Knowledge Capture Systems? Knowledge,

Management Mechanisms to Capture Tacit Knowledge: Using

Organization Stories, Techniques for Organizing and Using Stories in the

Organization

Designing the Knowledge Capture System, Concept Maps, Context-Based

Reasoning, Barriers to the Use of Knowledge Capture Systems

3.3 Knowledge Sharing Systems: Systems that Organize and

Distribute Knowledge: What Are Knowledge Sharing Systems?,

Designing The Knowledge Sharing System, Barriers to The Use of

Knowledge Sharing Systems, Specific Types of Knowledge Sharing

Systems, Lessons Learned Systems, Communities Of Practices (COP),

Expertise Locator Knowledge Sharing Systems, The Role of Ontologies

and Knowledge Taxonomies in the

Development of Expertise Locator Systems, Shortcomings of Knowledge

Sharing Systems

3.4 Knowledge Discovery Systems: Systems that Create Knowledge:

Mechanisms to Discover Knowledge: Using Socialization to Create, New

Tacit Knowledge, Technologies to Discover Knowledge: Using Data

Mining to Create, New Explicit Knowledge, Designing the Knowledge

Discovery System, Barriers to the Use of Knowledge Discovery Systems

10


04

4.1 Emergent Knowledge Management Practices

4.2 Factors Influencing Knowledge Management: A Contingency

View of Knowledge Management, The Effects of Task Characteristics,

The Effects of Knowledge Characteristics, The Effects of Organizational

and Environmental Characteristics, Identification of Appropriate

Knowledge Management Solutions

4.3 Leadership and Assessment of Knowledge Management:

Leadership of Knowledge Management, Importance of Knowledge

Management Assessment, Types of Knowledge Management Assessment,

Assessment of Knowledge Management Solutions, Assessment of

Knowledge, Assessment of Impacts

08

05

The Future of Knowledge Management: Using Knowledge

Management as a Decision-Making Paradigm to Address Wicked

Problems, Promoting Knowledge Sharing While Protecting Intellectual

Property, Involving Internal and External Knowledge Creators,

Addressing Barriers to Knowledge Sharing and Creation, KM for

innovation

06

06 Case studies in Knowledge Management 04

List of Experiments 1. Case studies on knowledge Management

2. Group seminar (Group shall not be of more than 3 members)

Term Work Term work shall consist of a case study, report of group seminar, 6 assignments covering



Case study: 10 marks

Seminar: 05 marks








Theory Examination





syllabus





References

1. Encyclopedia of knowledge management by David Schwartz, publisher : Idea Group

Reference

2. Knowledge Management Foundations by Steve Fuller,publisher: Butterworth–

Heinemann.

3. KM tools and techniques : practitioners and experts evaluate KM solutions /

Madanmohan Rao ,publisher Elsevier Butterworth–Heinemann

4. Knowledge management strategies for business development / Meir Russ, editor.

Published by Business Science Reference

5. The Knowledge-Creating Company by Ikujiro Nonaka by Harvard Business Review.

6. The complete guide to knowledge management: a strategic plan to leverage your

company’s intellectual capital / Edna Pasher and Tuvya Ronen.

7. The Knowledge management Toolkit:Practical Techniques for building a Knowledge

management System by Amrit Tiwana/ Pearson Education



AEE 8025 Project Management&

3+1 &

Common with Mechanical Engineering

Objectives

1. To familiarize the students with the use of a structured methodology/approach for

each and every unique project undertaken, including utilizing project management

concepts, tools and techniques.

2. To apprise the students with the project management lifecycle and make them

knowledgeable about the various phases from project initiation through closure.

Outcomes: Learner will be able to..

1. Apply selection criteria and select an appropriate project from different options.

2. Write work break down structure for a project and develop a schedule based on it.

3. Identify opportunities and threats to the project and decide an approach to deal with

them strategically.

4. Use Earned value technique and determine & predict status of the project.

5. Capture lessons learned during project phases and document them for future

reference.


01

Project Management Foundations

Definition of project management, project manager and project.

Project types, project phases and knowledge areas.

04

02

Initiating Projects

How to get a project started; Your project sponsor and creating

charter; The project team and team dynamics; running meetings

06

03

Planning Projects

Project estimating and scheduling techniques. PERT, CPM,

GANTT chart. Introduction to any one project scheduling software.

08

04

Planning Projects

Risk planning methods; Cost planning; Communication plan and

Final project plan. 04

05

Executing Projects

5.1 Team management; communicating and engaging with all

stakeholders of the projects.

Controlling Projects

5.2 Earned Value Management techniques for measuring your work

completed; Using milestones for measurement; change requests and

scope creep. Keeping up with the project, Updating the project, Project

Issues management and Dealing with troubled projects.

08

06

Closing the Project

Customer acceptance; completing a final report; doing a lessons

learned analysis; acknowledging successes and failures; Project

management templates and other resources; Managing without

authority; Areas of further study.

06


Term Work

Term work shall consist of,

1. Assignments: On topics drawn from syllabus [At least 1 assignment per module].

2. One scheduling exercise on any project management software where writing WBS

and Scheduling on PMIS software for a simple project or a Case Study on project

selection/ risk management.

3. Case Studies (at least 2 with inferences).



Scheduling on PMIS software: 10 marks




Internal Assessment

Assessment consists of two tests out of which; one should be compulsory class test (on



Theory Examination





syllabus




References

1. Project Management and Control,Narendra Singh; Himalaya Publishing House

2. Preparation, Appraisal, Budgeting, Implementing and Review, Prasanna Chandra

TMGH

3. Project Management: A managerial approach, Jack Meredith & Samuel Mantel,

Wiley India, 7th

Ed.

4. Project Management, Dennis Lock, Gower Publishing England, 9th

Ed.

5. Project Management, Gido Clements & Cengage Learning.

6. Project Management, Gopalan, Wiley India

7. Projects- Planning, Analysis, Selection, Financing, Implementation and Review,

Prasanna Chandra, TMGH



AEE 8026 Artificial Intelligence 3+1

Objectives

1. Introduction to the basic concepts of Artificial Intelligence.

2. To develop the design and programming skills.

3. Implement, evaluate, and compare the performance of various AI Techniques.

Course Outcomes: Learner will be able to …..

1. Apply the concept in Automobile industry

2. Model and simulate real life problem of Automobile industries.


01

AI and Internal Representation

Artificial Intelligence and the World, Representation in AI, Properties of

Internal Representation, The Predicate Calculus

Intelligent Agents: Concept of Rational Agent, Structure of Intelligent

agents, Agent Environments.

Problem Solving : Solving problems by searching, Problem Formulation,

Search Strategies, Uninformed Search Techniques, DFS, BFS, Uniform

cost search, Iterative Deepening, Comparing different Techniques,

Informed search methods – Best First Search, heuristic functions, Hill

Climbing, A*.IDA*. Crypt Arithmetic, Bactracking for CSP

06

02

Programming in LISP or PROLOG

Lisps, Typing at Lisp, Defining Programs, Basic Flow of Control in Lisp,

Lisp Style, Atoms and Lists, Basic Debugging, Building Up List

Structure, More on Predicates, Properties, Pointers, Cell Notation and the

Internals (Almost) of Lisp, Destructive Modification of Lists, The for

Function, Recursion, Scope of Variables Input/Output, Macros

06

03

Fundamentals Concepts and Models of Artificial Neural Systems

Biological Neuron and their Artificial Models, Models of ANN, Learning

and Adaptation, Neural Networking Learning Rules. Single-layer

Perception Classifiers

Multilayer Feed forward Networks : Linearly Nonseparable Pattern

Classification, Delta Learning Rule, Feed forward Recall and Error Back-

Propagation Training, Learning Factor

06

04

Fuzzy Systems

Fuzzy Sets: Fuzzy Relations, Fuzzy Function, Fuzzy Measures,

probabilities possibilities. Fuzzy Modeling and applications of Fuzzy

Control. Neural and fuzzy machine Intelligence

06

05

Generic Algorithm: Simple generic algorithm, Simulation by hands,

similarity templates (Schemata), Mathematical foundations, Schema

processing at work, Two armed and k armed Bandit Problem, Building

blocks hypothesis, Minimal Deceptive Problem,

Computer implementation of generic algorithm, Data structures,

Reproduction, Cross over and mutation. Time to response and time to

cross mapping objective function to fitness from fitness scaling.

Application of generic algorithm. De Jong and Function Optimization.

Improvement in basic techniques, Improvement to genetics based machine

learning, application of genetic based machine learning

06


06

Data Mining & Information Retrieval

Data warehousing & Data Mining. Online Analytic Processing [OLAP]:

its architecture and its use. Java implementations, classification trees and

exploratory data analysis [EDA].

EDA Vs Hypothesis Testing, Computational EDA Techniques, Graphical

[Data Visualization], EDA techniques for function fitting, data smoothing,

layering, tessellations, contour projections, Verification of results of EDA.

Applications & trends in data mining.

Case Studies

06

Term Work Term work shall consist of, Assignments on each module [At least 1 assignment per module].


1. Assignments: 20 marks

2. Attendance (Theory and Practical): 05 marks






Theory Examination In question paper weightage of each module will be proportional to number of




syllabus




References 1. Introduction to Artificial intelligence By Eugene Charniak, Drew McDermott

Addison Wesley

1. Artificial Neural Networks- B.Yegnanarayana, PHI, 1999.

2. Genetic Algorithms in search, Optimization & Machine Learning by David E

Goldberg-Addison wesley

3. Data Mining by Pieter Adriaans and Dolt Zantinge - Pearson Education Asia

4. Data Warehousing in the Real World by Sam Anahory and Dennis Murray.

5. Artificial Intelligence, Elaine Rich, Kevin Knight, S. Nair, McGraw Hill Publishing

Company Ltd

6. Principles of Artificial Intelligence – N.J. Nilsson, Tioga Hill, 1992.

7. Artificial Intelligence and Design of Expert Systems – C.F. Luger & W.A.

Stubblefeild, Addison-Wesley.

8. Introduction to Data Mining & Knowledge Discovery – Edelstein, Herbert A.

9. Introduction to Artificial Neural Systems – Jacek M. Zurada, Jaico Publishing House,

2001.

10. Neural Network – SimsonHaykin, Macmillan Publication, 1994.

11. Fuzzy Set Theory & its Applications – H.J.Zimmermann, Allied Publishers Ltd, 1996.



AEE8027 Virtual Reality 3+1

Objectives

1. Introduction to the basic concepts of Virtual Reality.

2. To develop the design and programming skills.

3. Implement, evaluate, and compare the performance of various Virtual Reality

Techniques

Outcomes: Learner will be able to….

1. Apply the concept in Automobile industry

2. Model and simulate real life problem of Automobile industries.


01

Introduction: A short history of early virtual reality, early commercial

VR Technology, VR becomes an Industry, The five classical

components of VR Systems.

Input Devices: Trackers, Navigations and Gesture Interfaces.

Three Dimensional Position Trackers: Tracker performance

parameters, Mechanical trackers, Magnetic trackers, Ultrasonic

trackers, Optical Trackers and Hybrid Inertial Trackers Navigation and

Manipulation Interfaces: Tracker based Navigation/Manipulation

Interfaces, Trackballs, and three Dimensional Probes Gesture

Interfaces: The Pinch Glove, the 5DT Data Glove, the Didjiglove, the

Cyberglove

06

02

Output Devices: Graphical, Three Dimensional Sound and Haptic

Displays: Graphical Display: The human visual system, personal

graphics displays, large volume displays. Sound displays: the human

auditory system, the convolvotron, Speaker based three dimensional

sound. Haptic Feedback: The human haptic system, Tactile Feedback

Interfaces, Force Feedback Interfaces.

06

03

Computing Architectures for Virtual Reality: The Rendering

Pipeline: The graphical rendering pipeline, The haptics rendering

pipeline. PC Graphics Architectures: PC Graphics Accelerators,

Graphics Benchmarks. Work Station Based Architectures: the Sun

Blade 1000 Architecture, The SGI Infinite Reality Architecture.

Distributed VR Architectures: Multipipeline Synchronization,

Colocated rendering Pipelines, Distributed Virtual Environments.

06

04

Modeling: Geometric Modeling: Virtual Object Shape, Object Visual

Appearance. Kinematics Modeling: Homogeneous Transformation

Matrices, Object Position, Transformation Invariants, Object

Hierarchies, viewing the three dimensional words. Physical Modeling:

Collision Detection, Surface Deformation, Force Computation,

Force Smoothing and Mapping, Haptic Texturing. Behavior

Modeling and Model Management: Level of Detail Management, Cell

Segmentation.

06

05

Virtual Reality Programming: Toolkits and Scene Graphs. World

Toolkit: Model Geometry and Appearance, The WTK Scene Graph,

Sensors and Action Functions, WTK Networking, JAVA 3D: Model

Geometry and Appearance, Java 3D Scene graph, Sensors and

Behaviors, Java 3D Networking, WTK and Java 3D Performance

Comparison. General Haptics Open Software Toolkit: GHOST

Integration with the Graphics Pipeline, The GHOST Haptic Scene

Graph, Collision Detection and response, Graphics and PHANToM

06


Calibration.

Human Factors in Virtual Reality: Methodology and Terminology:

Data Collection and Analysis, Usability Engineering Methodology.

User Performance Studies: Test bed Evaluation of universal VR Tasks,

Influence of System Responsiveness on User Performance, Influence of

Feedback Multimodality.

06

Traditional Virtual Reality Applications: Medical Application of

VR: Virtual Anatomy, Triage and Diagnostic and Rehabilitation.

Education, Arts and Entertainment: VR in Education, VR and, Surgery

the Arts. Entertainment Application of VR. Military VR Application:

Army use of VR, VR Application in Navy, Air Force use of VR.

Emerging Application of VR: VR Application and Manufacturing:

Virtual Prototyping, other VR Application in Manufacturing;

Application of VR in Robotics: Robot Programming, Robot Tele

operation. Information Visualization: Oil Exploration and Well

Management, Volumetric Data Visualization.

06

Term Work

Term work shall consist of, at least one (1) assignments on each module






Internal Assessment

Assessment consists of two tests out of which; one should be compulsory class test (on



Theory Examination





syllabus




References

1. GrigoreBurdea, Philippe Coiffet, “ Virtual Reality Technology” 2nd

edition. Wiley

India

2. John vince, “Virtual Reality Systems” Pearson Education Asia

3. Understanding Virtual Reality, Sherman, Elsever.



AEP701 / AEP802 Project I/ II 3 / 6

Objective

1. To acquaint with the process of undertaking literature survey/industrial visit and

identifying the problem

2. To familiarize the process of solving the problem in a group

3. To acquaint with the process of applying basic engineering fundamental in the domain

of practical applications

4. To inculcate the process of research

Outcome: Learner will be able to…

1. Do literature survey/industrial visit and identify the problem

2. Apply basic engineering fundamental in the domain of practical applications

3. Cultivate the habit of working in a team

4. Attempt a problem solution in a right approach

5. Correlate the theoretical and experimental/simulations results and draw the proper

inferences

6. Prepare report as per the standard guidelines.

Guidelines for Project

o Students should do literature survey/visit industry/analyze current trends and

identify the problem for Project and finalize in consultation with Guide/Supervisor.

Students should use multiple literatures and understand the problem.

o Students should attempt solution to the problem by experimental/simulation

methods.

o The solution to be validated with proper justification and report to be compiled in

standard format.

Guidelines for Assessment of Project I

o Project I should be assessed based on following points

Quality of problem selected

Clarity of Problem definition and Feasibility of problem solution

Relevance to the specialization

Clarity of objective and scope

Breadth and depth of literature survey

o Project I should be assessed through a presentation by the student project group to

a panel of Internal examiners appointed by the Head of the Department/Institute of

respective Programme.

Guidelines for Assessment of Project II

o Project II should be assessed based on following points

Quality of problem selected

Clarity of Problem definition and Feasibility of problem solution

Relevance to the specialization / Industrial trends

Clarity of objective and scope

Quality of work attempted

Validation of results

Quality of Written and Oral Presentation

o Report should be prepared as per the guidelines issued by the University of

Mumbai.

o Project II should be assessed through a presentation by the student project group to

a panel of Internal and External Examiners approved by the University of Mumbai

o Students should be motivated to publish a paper based on the work in

Conferences/students competitions


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